4 citations · 16 across the 10 of their papers we have counts for
10 papers
From Knowledge Organization to Knowledge Representation and Back
Fausto Giunchiglia, Mayukh Bagchi, Subhashis Das
Knowledge Organization (KO) and Knowledge Representation (KR) have been the two mainstream methodologies of knowledge modelling in the Information Science community and the Artific…
From Knowledge Representation to Knowledge Organization and Back
Fausto Giunchiglia, Mayukh Bagchi
Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO) have been the two most prominent methodologies of data and knowledge modelling in the Artificial Inte…
A semantics-driven methodology for high-quality image annotation
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
Recent work in Machine Learning and Computer Vision has highlighted the presence of various types of systematic flaws inside ground truth object recognition benchmark datasets. Our…
Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs
Simone Bocca, Alessio Zamboni, Gabor Bella +5
When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge…
Incremental Image Labeling via Iterative Refinement
Fausto Giunchiglia, Xiaolei Diao, Mayukh Bagchi
Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existe…
Disentangling Domain Ontologies
Mayukh Bagchi, Subhashis Das
In this paper, we introduce and illustrate the novel phenomenon of Conceptual Entanglement which emerges due to the representational manifoldness immanent while incrementally model…